Understanding the 3-D structure of a virus
particle as it progresses through its lifecycle is
an important part of understanding, and
potentially modifying, its behavior. Computing
the 3-D structure of a virus from electron
microscope images of ensembles of identical virus
particles is a tomography problem with several
unusual characteristics. These characteristics
include low SNR, unknown projection orientations
for the 2-D projections of the 3-D viral electron
scattering intensity, and linear modification of
the projections by a circularly-symmetric
frequency response with zeros which is basically
known. A statistical approach to this 3-D signal
reconstruction problem will be described that
includes both planning experiments and analyzing
the results of experiments. A variety of
numerical examples will be presented.

See http://www.stat.purdue.edu/~doerge/BIOINFORM.D/SPRING04/sem.html
for a full scheule of BIOINFORMATICS SEMINARS.